code: def test_rank_standardization(self):
      # Downranking
      inputs = Input(shape=(3,), batch_size=2)
      outputs = layers.Dense(3)(inputs)
      model = Functional(inputs, outputs)
      out_val = model(np.random.random((2, 3, 1)))
      self.assertEqual(out_val.shape, (2, 3))
  
      # Upranking
      inputs = Input(shape=(3, 1), batch_size=2)
      outputs = layers.Dense(3)(inputs)
      model = Functional(inputs, outputs)
      out_val = model(np.random.random((2, 3)))
      self.assertEqual(out_val.shape, (2, 3, 3))
  
imports: import warnings
  import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import testing
  from keras.layers.core.input_layer import Input
  from keras.layers.input_spec import InputSpec
  from keras.models import Functional
  from keras.models import Model
label_desc: Use image node_id 12 for calling the FunctionalTest obj's underlying member method code with example usage: obj.test_rank_standardization() without return types